About Moonshot Brands

We are Moonshot Brands, a Y-combinator-backed company (W21) with $160M in debt and equity funding from leading Silicon Valley VC firms, including Victory Park Capital, Liquid 2 Ventures (Joe Montana), and Garage Capital. Among our founding team of MIT Sloan and Wharton graduates, we have operated and sold five businesses and have come together as Moonshot Brands to acquire, operate, and grow profitable e-commerce brands.

From our experience, we want to build the acquisition process that we wish we could have had and to provide the post-acquisition resources to grow your business to the fullest potential. As entrepreneurs ourselves, we believe in empowering our founders, giving them a stake in Moonshot’s continued success, and collaborating with an all-star team to change the e-commerce landscape. We connect our portfolio to growth capital, data, and expertise in operations, marketing, supply chain management, and product development to provide owner-operators with infrastructure to grow and compete at scale. At the same time, we believe in our entrepreneurs and want to keep them engaged in the shared success of Moonshot Brands by offering meaningful equity tied to Moonshot’s mission. Moonshot is building a technology-centric ecosystem to provide our portfolio with cutting-edge tools and data-driven insights to succeed in global marketplaces. From inventory forecasting to performance marketing and automations, we are building the technology that allows brands to achieve peak performance and win in their markets.

If you’d like to be part of this Moonshot which will be a fun fast-paced rocketship that will drive the future of e-commerce brands and you think you add significant value to our mission we’d love to hear from you.

About The Role

Moonshot Brands is seeking a high-performing Data Scientist to support both our internal and portfolio company operations. In this role you will work to uncover patterns and generate insights by building and deploying predictive machine learning models that assist with our sourcing and optimization of portfolio company sales, marketing and operations. The candidate will have exposure across all of Moonshot’s portfolio companies and create broad top-down strategies as well as brand specific solutions based on analytical rigor. The Data Scientist will also provide perspective on Moonshot’s collection of data that will be analyzed to inform future business decisions. This role requires a high level of autonomy.

Responsibilities include:

• Setting strategies for data collection, maintenance, analysis and utility of insights
• Identifying business problems to solve with data-driven approaches
• Overseeing machine learning, AI and algorithmic development that automates various aspects of our deal operations and portfolio operations workflows
• Analyzing sales, marketing, logistics and other operational data to generate insights on opportunities for improvement
• Design and implement algorithms to tackle a wide variety of datasets using open source libraries, third party API’s and in house developed algorithms
• Analyzing marketplace data to identify potential opportunities for acquisition
• Reporting on patterns and insights to cross-functional teams of M&A professionals, operators, and e-commerce brand founders
• Establish partnerships with technology and data vendors that aid in accomplishing Moonshot’s analytics strategy
• Identify opportunities for continuous improvement to processes and propose solutions to be implemented
• Foster effective dialogue with cross-functional teams to facilitate processes. Anticipate needs and challenges and provide seamless solutions
• Ensure all activities are in compliance with applicable rules, regulations, policies and procedures
• Additional responsibilities as requested

Qualifications

• 5+ years of proven experience as a Data Scientist, similar role or career progression.
• Experience working as a data scientist in CPG/Retail/e-Commerce companies
• Deep knowledge in statistics, Machine Learning and Time Series Forecasting/Analysis
• Knowledge of data management, data engineering and visualization techniques
• Experience in writing complex SQL queries and working in a multi-database environment
• Relevant scientific academic background - ability to read and implement insights from academic papers
• Knowledge in building production-ready code (Object Oriented, Design Patterns etc.) - a plus
• Experience with Big Data technologies such as Spark, Hadoop, Hive - a plus
• Experience in building NLP models incl. relationship extraction, entity extraction, topic modelling etc. - a plus

• Bachelor’s Degree in Computer Science, Engineering, or related field required
• Detail-oriented with strong analytical abilities
• Excellent mathematical, writing, verbal and computer skills
• Ability to adapt to new tasks with little notice
• Effective leadership and coaching skills
• Strong desire to win
• Sound judgement
• Deep, sophisticated understanding of accounting and finance
• Commitment to satisfying internal and external customers

Moonshot Brands welcomes all and is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or other applicable legally protected characteristics.